Image Intra-Prediction Block Splitting for Closer Reference Samples
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Solution Overview
Problem
Existing image compression technologies, particularly for still and moving images, fail to accurately reflect the characteristics of images due to fixed block-based splitting, leading to reduced prediction accuracy as the distance from reference samples increases.
Innovation Solution
The method involves splitting images based on the direction of the intra-prediction mode, allowing for vertical or square quad-tree splitting of processing blocks, and reconstructing them into square forms for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed block-based splitting is used for image compression, then the compression process is simple and standardized, but the prediction accuracy decreases as the distance from reference samples increases
Solution Approach 1:
The processing block is segmented into multiple sub-blocks based on the intra-prediction mode direction. This segmentation allows each sub-block to perform intra-prediction with reference samples that are closer in distance, thereby improving prediction accuracy while maintaining a systematic approach to block processing
Solution Approach 2:
The patent introduces a new dimension to block splitting by considering the intra-prediction mode direction. Instead of uniform square splitting, the block is split perpendicular to the prediction direction, creating a multi-dimensional approach that adapts to the prediction geometry and improves accuracy
2Measurement precision
If the processing block is split perpendicular to the intra-prediction direction, then the distance between reference and prediction samples is reduced improving accuracy, but the processing complexity increases
Solution Approach 1:
The block splitting strategy is made dynamic by adapting the split direction to the intra-prediction mode. The processing block is split perpendicular to the prediction direction, creating sub-blocks that maintain closer reference sample distances. This dynamic adaptation improves prediction accuracy while the systematic nature of the approach maintains processing efficiency
3Adaptability or versatility
If square quad-tree splitting is used, then the block structure is simple and regular, but it does not adapt to the intra-prediction mode direction reducing prediction accuracy
Solution Approach 1:
The patent applies local quality by making the block splitting specific to the intra-prediction mode direction. Each processing block is split perpendicular to its prediction direction, creating a locally optimized structure that adapts to the specific prediction requirements rather than using a uniform square quad-tree approach
Data Source
AI summary
In the present invention, a method for processing an image on the basis of an intra prediction mode and an apparatus therefor are disclosed. Particularly, the method for processing an image on the basis of an intra prediction mode may comprise the steps of: partitioning a block to be processed, on the basis of an intra prediction mode of the block to be processed; and performing intra prediction for the split block to be processed, wherein the direction in which the block to be processed is split is perpendicular to the prediction direction of the intra prediction mode of the block to be processed.